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Extracting Notional Machines for Databases

Conference Paper (2025)
Author(s)

Daphne Miedema (Universiteit van Amsterdam)

George Fletcher (Eindhoven University of Technology)

Fenia Aivaloglou (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Leonard Busuttil (University of Malta)

Laura Farinetti (Politecnico di Torino)

Martin Goodfellow (University of Strathclyde)

Giovanna Guerrini (Università degli Studi di Genova)

Georgiana Haldeman (Colgate University)

Yuhan Pan (University of Toronto)

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Research Group
Web Information Systems
DOI related publication
https://doi.org/10.1145/3724389.3731277 Final published version
More Info
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Publication Year
2025
Language
English
Research Group
Web Information Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Pages (from-to)
693-694
Publisher
ACM
ISBN (electronic)
979-8-4007-1569-3
Event
30th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2025 (2025-06-30 - 2025-07-02), Radboud University, Nijmegen, Netherlands
Downloads counter
103

Abstract

Database education is a cornerstone under many of the more popular topics in computer science such as machine learning and visualization. Although, in recent years, more fundamental research into database education has come out, there are many more ways in which it can be extended. Research on the practice of teaching databases, namely on the educational materials and explanations of teachers, can help us create new building blocks for fundamental research. This working group aims to collect and present notional machines of different types, for a wide range of database subtopics. These materials offer and updated context for database educators to design their courses from, as well as open up pathways of further research into database education.